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Full-stack recurrence

LoopAhead

LoopAhead: Speculating Ahead for Faster Decoding in Looped Language Models

Zixuan Liu, Nan Xue, Rui Bao, Yuhang Xu, Xiaofeng Cao, Jiangchao Yao, Zhiyong Chen

A speculative decoding framework for looped transformers that gives different recurrent depths complementary roles: a lightweight lookahead drafter predicts several future tokens from early-loop states, deeper-loop feedback decides which draft branches to continue, and the full-depth model makes final decisions.

Inside the method

Early-loop state → lookahead drafter → deeper-loop branch control → full-depth verify

Simplified conceptual schematic. Consult the paper for the complete architecture.

Recurrence family
Full-stack recurrence
Depth control
Early loops draft; full depth decides
KV / state strategy
See paper

Reading note

Reports up to 7.82× decoding speedup over autoregressive decoding while preserving the target model's output distribution.

Sources checked 2026-10-28. This catalog does not imply independent reproduction.

Related works

Cite this work

@misc{loopahead2026,
  title = {LoopAhead: Speculating Ahead for Faster Decoding in Looped Language Models},
  author = {Zixuan Liu and Nan Xue and Rui Bao and Yuhang Xu and Xiaofeng Cao and Jiangchao Yao and Zhiyong Chen},
  year = {2026},
  eprint = {2610.21594},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.21594}
}

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